Researchers from the Cleveland Clinic, USA, have conducted a study which shows that exercise performance is a better predictor of longevity than an individual’s chronological age – could this be an easier method of predicting death?

Age is just a number

Dr Serge Harb, cardiologist at the Cleveland Clinic, explains: “Age is one of the most reliable risk factors for death: the older you are, the greater your risk of dying.”

“But we found that physiological health is an even better predictor. If you want to live longer then exercise more. It should improve your health and your length of life.”

Based on exercise stress testing performance, the researchers developed a formula to calculate how well people exercise – their ‘physiological age’ – which they call A-BEST (Age Based on Exercise Stress Testing).

The equation uses exercise capacity, how the heart responds to exercise (chronotropic competence), and how the heart rate recovers after exercise.

“Knowing your physiological age is good motivation to increase your exercise performance, which could translate into improved survival,” adds Harb.

“Telling a 45-year-old that their physiological age is 55 should be a wake-up call that they are losing years of life by being unfit. On the other hand, a 65-year-old with an A-BEST of 50 is likely to live longer than their peers.”

Details of the study

The study included 126,356 patients referred to the Cleveland Clinic between 1991 and 2015 for their first exercise stress test, a common examination for diagnosing heart problems.

The test involves walking on a treadmill, which gets progressively more difficult. During the test, exercise capacity, heart rate response to exercise, and heart rate recovery are all routinely measured. The data were used to calculate A-BEST, taking into account gender and use of medications that affect heart rate.

The average age of study participants was 53.5 years and 59% were men. More than half of patients aged 50-60 years – 55% of men and 57% of women – were physiologically younger according to A-BEST. After an average follow-up of 8.7 years, 9,929 (8%) participants had died. As expected, the individual components of A-BEST were each associated with mortality.

Patients who died were ten years older than those who survived. But A-BEST was a significantly better predictor of survival than chronological age, even after adjusting for sex, smoking, body mass index, statin use, diabetes, hypertension, coronary artery disease, and end-stage kidney disease. This was true for the overall cohort and for both men and women when they were analysed separately.

Dr Harb explained that doctors could use A-BEST to report results of exercise testing to patients: “Telling patients their estimated age based on exercise performance is a powerful estimate of longevity and easier to understand than providing results for the individual components of the examination.”